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Grand Canyon University
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Inputs and outputs to the analytics Continuum
Business analytics uses statistical methods and technologies for analyzing historical data
to gain new knowledge and improve strategic decision-making (Holsapple et al., 2014). The
analytics continuum represents various stages in a company that acts on data. A mechanism is an
essential tool that helps organizations to understand their present situation and plan for it. The
main inputs to the analytics continuum include descriptive, predictive, and prescriptive. Through
descriptive analysis involves observing, companies can make meaningful data and determine
what had occurred in previous times. Using historical information from earlier sources will help
decision-makers have a general view of performance and trends to categorize business strategy.
This system involves outlining past events such as sales and marketing campaigns.
Descriptive analytics uses simple maths and statistical tools such as average, arithmetic,
and percentages. Predictive analytics is a signaling system, and it uses various techniques such as
data mining, statistical modeling, and machine learning algorithms. Predictive analytics can
predict what will happen in the future, such as customers’ behavior, purchasing trends, and sales.
The advantage of this input is it reduces risk, detects fraud, and improves customer service.
Prescriptive analytics suggest what should be done. This tool uses what has been learned from
descriptive and predictive analytics to make decisions. The main outputs to the analytics
continuum include big data and real-time analytics. This tool helps prepare and measure data
when it gets in the database (Holstein et al., 2017). It helps users make decisions quickly after the
data enters their system and allows businesses to act immediately. Big data plays a crucial role in
uncovering hidden data, correlations, market trends, and helpful information.

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1 Inputs and outputs to the analytics Continuum Business analytics uses statistical methods and technologies for analyzing historical data to gain new knowledge and improve strategic decision-making (Holsapple et al., 2014). The analytics continuum represents various stages in a company that acts on data. A mechanism is an essential tool that helps organizations to understand their present situation and plan for it. The main inputs to the analytics continuum include descriptive, predictive, and prescriptive. Through descriptive analysis involves observing, companies can make meaningful data a ...
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